Case studies

Driving Profits in a Highly Competitive Landscape

A prediction ensemble utilizing multivariate regression was created for a global record company. This resulted in an increase in the sales forecast model’s accuracy from 60% to 97% for 133 artists across ten genres, thereby increasing profits and optimizing the supply chain.

The Problem
In the music industry where first week sales has a big impact on overall profitability, this company’s predictions were only 60% accurate thus leaving ‘money on the table’.

The Before State
Models built with internal transactional data were not accurate in the real world.

LatentView Solution
Created a prediction ensemble utilizing multivariate regression with attributes describing how people ‘engage’ with music in the social space.

The After State
Increase in the accuracy of sales forecast model from 60% to 97% for 133 artists across 10 genres thereby increasing profits and optimizing supply chain.

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